Triple
T32282856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penal Law (1917 Code of Canon Law) |
E824746
|
entity |
| Predicate | systematicallySetsOut |
P58463
|
FINISHED |
| Object | norms on crimes in the Church |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: norms on crimes in the Church | Statement: [Penal Law (1917 Code of Canon Law), systematicallySetsOut, norms on crimes in the Church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: systematicallySetsOut Context triple: [Penal Law (1917 Code of Canon Law), systematicallySetsOut, norms on crimes in the Church]
-
A.
systematicallyPresents
chosen
Indicates that one entity presents or displays another in an organized, methodical, and structured manner.
-
B.
setsOut
Indicates that an entity begins a journey, course of action, or process, moving from an initial state or location toward a goal or destination.
-
C.
setsInMotion
Indicates initiating movement or causing an entity to begin moving or proceeding from a state of rest.
-
D.
setsIn
Indicates that one entity places or positions another entity into or within a specified container, location, or context.
-
E.
setsForth
Indicates that an entity formally presents, explains, or lays out something such as a plan, argument, rule, or proposal.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 12:43 a.m.